Databricks Pricing Calculator
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Databricks Pricing Calculator
Understanding Databricks Pricing
Databricks pricing is primarily based on a consumption model, utilizing Databricks Units (DBUs) which represent a normalized unit of processing capability per hour. Your total cost is a function of the number of DBUs consumed, the type of compute used, your chosen Databricks tier, the cloud provider, and the region.
Key Pricing Components:
- Databricks Units (DBUs): This is the core metric. Different instance types and job complexities consume DBUs at varying rates. Higher DBU consumption leads to higher costs.
- Compute Type: Databricks differentiates between All-Purpose Compute (for interactive analysis, development, and BI dashboards) and Jobs Compute (for running automated production workloads). Jobs Compute is generally priced lower per DBU.
- Databricks Tier: Databricks offers several tiers (e.g., Standard, Premium, Enterprise) that provide different levels of features, security, governance, and performance. Higher tiers typically have a higher DBU price.
- Cloud Provider & Region: While DBUs are the primary Databricks charge, the underlying cloud infrastructure (VMs, storage, networking) is provided by AWS, Azure, or GCP. Databricks pricing varies slightly by cloud provider and region due to differences in underlying infrastructure costs and DBU rate cards. The region is important as infrastructure costs can differ significantly.
How the Calculation Works (Simplified Model):
The cost is calculated using the formula:
Estimated Cost = DBU Hours Consumed * DBU Rate
The DBU Rate is determined by a combination of:
- The selected Compute Type (All-Purpose vs. Jobs).
- The chosen Databricks Tier (Standard, Premium, Enterprise).
- The Cloud Provider (AWS, Azure, GCP).
- The specific Region, which influences the base infrastructure cost and DBU pricing.
This calculator uses a simplified, representative DBU rate lookup based on common pricing structures. For precise, real-time pricing, always refer to the official Databricks pricing page or contact their sales team, as rates can change and depend on specific contracts and discounts.
Example Scenario:
Let's say you consume 750 DBU Hours using Jobs Compute on the Premium tier with AWS in the us-east-1 region.
Assume a representative DBU rate for AWS Premium Jobs Compute in us-east-1 is approximately $0.12 per DBU.
Estimated Cost = 750 DBU Hours * $0.12/DBU Hour = $90.00
This calculator aims to provide a good estimate for budgeting purposes.
function calculateDatabricksCost() {
var dbuHours = parseFloat(document.getElementById("dbusHours").value);
var computeType = document.getElementById("computeType").value;
var cloudProvider = document.getElementById("cloudProvider").value;
var tier = document.getElementById("tier").value;
// Region is used for context but not directly in this simplified rate lookup.
// var region = document.getElementById("region").value;
var baseDbuRate = 0.0;
// Simplified DBU rates per hour. These are representative and can vary.
// Format: { computeType: { tier: { cloudProvider: rate } } }
var dbuRates = {
"all-purpose-compute": {
"standard": {
"aws": 0.65,
"azure": 0.65,
"gcp": 0.65
},
"premium": {
"aws": 0.85,
"azure": 0.85,
"gcp": 0.85
},
"enterprise": {
"aws": 1.20,
"azure": 1.20,
"gcp": 1.20
}
},
"jobs-compute": {
"standard": {
"aws": 0.30,
"azure": 0.30,
"gcp": 0.30
},
"premium": {
"aws": 0.40,
"azure": 0.40,
"gcp": 0.40
},
"enterprise": {
"aws": 0.55,
"azure": 0.55,
"gcp": 0.55
}
}
};
// Input validation
if (isNaN(dbuHours) || dbuHours < 0) {
document.getElementById("calculationResult").innerHTML = "Please enter a valid number for DBU Hours.";
return;
}
// Look up the DBU rate
if (dbuRates[computeType] && dbuRates[computeType][tier] && dbuRates[computeType][tier][cloudProvider]) {
baseDbuRate = dbuRates[computeType][tier][cloudProvider];
} else {
document.getElementById("calculationResult").innerHTML = "Rate not found for selected options.";
return;
}
var totalCost = dbuHours * baseDbuRate;
// Format the result nicely
document.getElementById("calculationResult").innerHTML = "$" + totalCost.toFixed(2);
}